Digital transformation offers many benefits, and that is the reason it is so vital today. We want to point out that if businesses want to drive innovation and stand out from the competitive crowd, they should never opt for stand-alone systems.
If your answer is yes, then, you must opt for data sharing between CRM, ERP and E-Commerce systems. However, very few businesses engage in system integration; mainly because the process is complicated and risky.
Keeping all the possibilities of the things that may go south for you, you cannot avoid the fact that system integration runs today’s competitive landscape.
Now, there’s no reason to be dismayed! You can follow some tips, ensuring that your system integration efforts do not go off the deep end.
We will be elaborating the steps which will help you in successful system integration. Here are a few suggestions!
There is a perfect chance that your initial list will end up being incomplete and critical data may not be identified in the first couple of rounds.
Your system uses certain characters while the one you are integrating with does not. Such incompatibilities lead to severe issues.
Data that ’’might be helpful’’ is not to be included.
Focus only on what ’’is helpful.’’
Data that ’’is helpful’’ may need a change in scope whereas data that ’’might be helpful’’ may consist of enhancements that could probably come in handy as the project progresses.
For example, Coupler.io will export QuickBooks to google sheets for easy storage of important data. You can export your data at ease and do the trickiest manipulations with data in spreadsheets.
Build a streamlined business process before you implement the system data integration program.
Haven’t you heard? Caution is better than cure.
Integration projects are complex by nature because they involve the management of applications and processes tied to multiple systems.
Establish a glossary of sorts to minimize errors in communication. Avoid using technical-jargon when it is not entirely necessary. Keep things simple.
In conclusion, it is quite apparent that data integration is a very complicated task. However, by carefully applying what we just discussed, you can overcome most of the issues and deliver a successful project.